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Journals / International Journal of Engineering and Innovative Research / 2024 / Volume: 6 Issue: 3

Material Selection for Metal Additive Manufacturing Using Multi-Criteria Decision Making Methods

Çok Kriterli Karar Verme Yöntemlerini Kullanarak Metal Eklemeli Üretim için Malzeme Seçimi

Batuhan Özakın(Samsun Üniversitesi Mühendislik ve Doğa Bilimleri Fakültesi Makine Mühendisliği Bölümü)0000-0003-1754-949X
Kürşat Gültekin(ONDOKUZ MAYIS ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ)0000-0002-6790-6822
Pages
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Publication Date
2024-10-26
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It has been concluded that it will be more effective to decide according to the nature of the technological application in the use of the materials that rank first two in TOPSIS and ARAS methods in additive manufacturing.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Additive manufacturing has attracted attention as a new generation manufacturing method that has found widespread use in many industries in recent years due to its many advantages over traditional manufacturing methods.
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Key Findings & Data:It was observed that AlSi12Cu2Fe material ranked first in the TOPSIS method, while H13 material ranked first in the ARAS method.
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Conclusion & Impact:It has been concluded that it will be more effective to decide according to the nature of the technological application in the use of the materials that rank first two in TOPSIS and ARAS methods in additive manufacturing.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:TOPSIS · ARAS · Additive Manufacturing

Abstract

Additive manufacturing has attracted attention as a new generation manufacturing method that has found widespread use in many industries in recent years due to its many advantages over traditional manufacturing methods. The materials used in metal additive manufacturing technology have a wide range. Therefore, making the ideal choice among these preferable materials is very important. Multi-criteria decision making (MCDM) techniques are reliable and effective methods in material selection processes and are effectively used in material selection processes. In this study, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and Additive Ratio Assessment (ARAS) methods were applied to the selection process among different criteria and materials for metal additive manufacturing. It was observed that AlSi12Cu2Fe material ranked first in the TOPSIS method, while H13 material ranked first in the ARAS method. The second place was taken by H13 material in the TOPSIS method and AlSi12Cu2Fe material in the ARAS method. A strong relationship exists between TOPSIS and ARAS methods with a Pearson correlation coefficient of 0.977. It has been concluded that it will be more effective to decide according to the nature of the technological application in the use of the materials that rank first two in TOPSIS and ARAS methods in additive manufacturing.

Özet

Eklemeli imalat, geleneksel imalat yöntemlerine göre birçok avantajından dolayı son yıllarda birçok endüstride yaygın bir kullanım alanı bulan yeni nesil imalat yöntemi olarak dikkatleri üzerinde toplamaktadır. Metal eklemeli imalatta teknolojisinde kullanılan malzemeler oldukça geniş bir yelpazeye sahiptir. Dolayısıyla bu tercih edilebilir malzemeler arasından ideal seçimi yapmak oldukça önemlidir. Malzeme seçim süreçlerinde çok kriterli karar verme (MCDM) teknikleri güvenilir ve etkili yöntemlerdendir ve malzeme seçim süreçlerinde etkin bir şekilde kullanılmaktadır. Bu çalışmada metal eklemeli imalat için farklı kriterler ve malzemeler arasından seçim sürecine TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) ve Additive Ratio Assessment (ARAS) yöntemleri uygulanmıştır. TOPSIS yönteminde ilk sırayı AlSi12Cu2Fe malzeme alırken ARAS yönteminde ise H13 malzemenin aldığı görülmüştür. İkinci sırayı ise TOPSIS yönteminde H13 malzeme alırken ARAS yönteminde ise AlSi12Cu2Fe malzemenin aldığı tespit edilmiştir. TOPSIS ve ARAS yöntemleri arasında 0.977 Pearson korelasyon katsayısı ile güçlü bir ilişki olduğu belirlenmiştir. TOPSIS ve ARAS yöntemlerinde ilk iki sırayı alan malzemelerin eklemeli imalatta kullanılmasında, teknolojik uygulamanın niteliğine göre karar verilmesinin daha etkili olacağı sonucuna varılmıştır.

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Cite This Article

Özakın, B., Gültekin, K. (2024). Material Selection for Metal Additive Manufacturing Using Multi-Criteria Decision Making Methods. International Journal of Engineering and Innovative Research, Volume: 6 Issue: 3. https://doi.org/10.47933/ijeir.1525040

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